Moving away from Google Analytics (GA) can be the right decision—whether for privacy, simplicity, or cost. But migrations fail for the same predictable reasons: apples-to-oranges metrics, broken tracking, and unrealistic expectations. Here’s a pragmatic guide to avoid the traps and land on a reliable, decision-ready analytics stack. 1) Treating “equivalent metrics” as identical (they aren’t)…
If 2024–2025 was about coping with signal loss, 2026 is about competing on measurement quality. The winners won’t be the brands with the most data, but the ones that turn clean, timely, privacy-safe data into faster decisions and provable incremental growth. Here’s a pragmatic, analytics-first look at what’s next—and what to do now. 1) Privacy-by-design…
If a landing page converts, it’s rarely by accident. It aligns with how people actually decide: fast, emotional shortcuts first; rational justification second. This article distills the core psychological principles behind high-converting pages—and shows how to translate them into design, copy, and experiments grounded in behavioral data. Start with first principles: clarity beats clever Processing…